Man pages for clustMD
Model Based Clustering for Mixed Data
| Byar | Byar prostate cancer data set. |
| clustMD | Model Based Clustering for Mixed Data |
| clustMDlist | Model Based Clustering for Mixed Data |
| clustMD-package | Model based clustering for mixed data: clustMD |
| clustMDparallel | Run multiple clustMD models in parallel |
| clustMDparcoord | Parallel coordinates plot adapted for 'clustMD' output |
| dtmvnom | Return the mean and covariance matrix of a truncated... |
| E.step | E-step of the (MC)EM algorithm |
| getOutput_clustMDparallel | Extracts relevant output from 'clustMDparallel' object |
| modal.value | Calculate the mode of a sample |
| M.step | M-step of the (MC)EM algorithm |
| npars_clustMD | Calculates the number of free parameters for the 'clustMD'... |
| ObsLogLikelihood | Approximates the observed log likelihood. |
| patt.equal | Check if response patterns are equal |
| perc.cutoffs | Calculates the threshold parameters for ordinal variables. |
| plot.clustMD | Plotting method for objects of class 'clustMD' |
| plot.clustMDparallel | Summary plots for a clustMDparallel object |
| print.clustMD | Print basic details of 'clustMD' object. |
| print.clustMDparallel | Print basic details of 'clustMDparallel' object |
| qfun | Helper internal function for 'dtmvnom()' |
| stable.probs | Stable computation of the log of a sum |
| summary.clustMD | Summarise 'clustMD' object |
| summary.clustMDparallel | Prints a summary of a clustMDparallel object to screen. |
| vec.outer | Calculate the outer product of a vector with itself |
| z.moments | Calculates the first and second moments of the latent data |
| z.moments_diag | Calculates the first and second moments of the latent data... |
| z.nom.diag | Transforms Monte Carlo simulated data into categorical data.... |
